Senior Data & AI Engineer (Clinical NLP)

Location: Remote within the United States; the role is associated with Brisbane, California.

Base salary: $145,000–$187,000 per year for San Francisco Bay Area roles; $126,000–$158,000 per year for US-only remote roles.

Company

hirify.global is a precision medicine diagnostics company developing molecular diagnostics, digital health solutions, AI-powered data and analytics, and patient support services for transplant, oncology, and cell therapy.

What you will do

• Design, implement, test, deploy, and maintain pipelines for structured EMR data and unstructured clinical narratives.
• Build clinical NLP workflows for entity, relationship, assertion, temporal, and clinical context extraction.
• Normalize clinical concepts and source codes using ICD, SNOMED CT, RxNorm, LOINC, UMLS, and UCUM.
• Transform EMR and NLP outputs into a transplant-focused OMOP Common Data Model and reconcile patient, encounter, unit, timestamp, and duplicate-record issues.
• Evaluate model, terminology, and data quality performance across hospitals, specialties, and note types while preserving provenance and enabling human review.
• Deploy production APIs and services, monitor reliability and performance, document architecture, lead reviews, and mentor engineers.

Requirements

• Master’s or Ph.D. in computer science, computational linguistics, biomedical informatics, data science, engineering, or a related field, or equivalent practical experience.
• 7+ years of relevant NLP, machine learning, or applied AI engineering experience, including 3+ years delivering clinical NLP solutions using real-world EHR or hospital notes.
• Advanced Python and SQL skills with experience in ETL orchestration, relational modeling, schema validation, incremental processing, and automated data-quality checks.
• Hands-on experience with structured EMR integration through HL7 FHIR, HL7 v2, APIs, or database extracts, plus OMOP CDM and OHDSI vocabulary mapping.
• Experience with clinical entity recognition, linking, relationship extraction, assertion and temporal detection, clinical context interpretation, and frameworks such as medspaCy, scispaCy, or cTAKES.
• Experience with transformer and LLM-based clinical extraction, production APIs, containerized cloud deployment, testing, CI/CD, monitoring, versioning, and secure handling of sensitive healthcare data.

Nice to have

• Transplant clinical data or research experience involving donors, recipients, immunosuppressive therapies, graft function, rejection, and longitudinal outcomes.
• Experience with OHDSI tools such as Usagi, Achilles, or Data Quality Dashboard.
• Experience adapting biomedical language models, active learning, distributed processing, high-volume inference optimization, OCR, or document layout processing.

Culture & Benefits

• Work on products intended to improve outcomes for organ transplant patients.
• US employee benefits include health and welfare coverage, gym reimbursement, a 401(k) match, employee stock purchase plan, and pre-tax commuter benefits.
• Full-time employees may receive up to 30 days of paid annual leave under the Living Donor Employee Recovery Policy when donating an organ or bone marrow.
• Employment follows security, privacy, compliance, and HIPAA-aligned practices for healthcare data.